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| {{Imperial/Box1|Modelling - Overview| | | {{Imperial/Box1|Modelling - Overview| |
| ====== Growth Curve ====== | | ====== Growth Curve ====== |
- | The growth of ''B. subtilis'' was characterised by simulating it on MATLAB. The aim was to increase the predictability of its behaviour during the growth. Also, the characterisation acts as a way to verify the accuracy of the experimental results. Several parameters, such as the growth constant and the Hill coefficient, were determined. These were incorporated into the model to further enhance its accuracy.
| + | We have developed a simple model for the growth of B. subtilis where the rate of growth is related to the amount of nutrients available. To this purpose we have exploited the ideas put forward by last year's Imperial College iGEM team for their modelling of F2620 in a cell-free system. |
| ====== Genetic Circuit ====== | | ====== Genetic Circuit ====== |
- | We have considered two mathematical models describing the time evolution of aspects of the genetic circuitry that comprise our device. We verify which model best describes the behaviour of the circuit using laboratory data. | + | We have also built mathematical models for the time evolution of the basic genetic circuits that comprise our device. We have verified which model best describe the behaviour of the circuit better by using laboratory data. |
| ====== Motility Analysis ====== | | ====== Motility Analysis ====== |
- | We have developed a simple mechanical model for the swimming motility of ''B. subtilis''. Using manual tracking, we were able to extract x,y coordinate data from the cell trajectory. This allowed us to fit experimental data with our model. It was concluded that flagellum force of ''B. subtilis'' was exponentially distributed.
| + | Finally, we have carried out a detailed analysis of the swimming motility of B. subtilis, which led us, among other things, to develop a simple mechanical model for the swimming motility of B. subtilis. Using manual tracking, we were able to extract x,y coordinate data from the cell trajectory. This has allowed us to fit experimental data with our model. The data suggest that flagellum force of B. subtilis is Maxwell distributed. |
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| + | All the model simulations have been carried out with MATLAB. The motility data analysis has also benn carried out with MATLAB. Cell tracking has been done with ImageJ via the Manual Tracking Plugin. All our MATLAB files can be found in the Appendices section. |
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| [[Image:Motility_Summary.jpg|center|600px]]<br> | | [[Image:Motility_Summary.jpg|center|600px]]<br> |
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Project Summary
Design
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In order to achieve our specifications of design, we require the following devices;
- Light sensing device - Converting a light input into a PoPS output
- Biomaterial production device - Converting a PoPS input into an output of biomaterial production
- Motility Control device - Converting a PoPS input into an output of motility arrest
- Integration device - To allow integration and selection of our genetic constructs and devices into B,subtilis
Each of these constructs makes up the final device which is shown below:
(AB is our antibiotic resistance cassette, ytvA is the gene controlling the light-sensing pathway, SB is the biomaterial, epsE the clutch and the 5' and 3' sections are integration sites. Light-inducible promoters are labelled with an 'L')
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Modelling - Overview
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Growth Curve
We have developed a simple model for the growth of B. subtilis where the rate of growth is related to the amount of nutrients available. To this purpose we have exploited the ideas put forward by last year's Imperial College iGEM team for their modelling of F2620 in a cell-free system.
Genetic Circuit
We have also built mathematical models for the time evolution of the basic genetic circuits that comprise our device. We have verified which model best describe the behaviour of the circuit better by using laboratory data.
Motility Analysis
Finally, we have carried out a detailed analysis of the swimming motility of B. subtilis, which led us, among other things, to develop a simple mechanical model for the swimming motility of B. subtilis. Using manual tracking, we were able to extract x,y coordinate data from the cell trajectory. This has allowed us to fit experimental data with our model. The data suggest that flagellum force of B. subtilis is Maxwell distributed.
All the model simulations have been carried out with MATLAB. The motility data analysis has also benn carried out with MATLAB. Cell tracking has been done with ImageJ via the Manual Tracking Plugin. All our MATLAB files can be found in the Appendices section.
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Implementation
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Following the design stage of our project we moved on to the implementation stage. This involved construction of a cloning strategy, construction of our biobricks and transformation and characterisation of these biobricks in B. subtilis. For more information on this aspect of the project please see the Wet Lab Hub.
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Testing
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The testing and validation of our project can be split into three main areas;
- Work with B. subtilis - Including characterisation of growth curves and transformation,
- Characterisation and control of motility
- Production of Biomaterials in B. subtilis
If you'd like to see more information on the key results from the testing and validation, you can find it on the Results Page.
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Achievements
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Here is a summary of the achievements of the Imperial College 2008 team:
- Submitted 45 documented parts to the Registry
- Characterized and improved the existing part BBa J31005 (chloramphenicol acetyl transferase, CAT)
- Developed integration sequences for Biobricks, to allow devices to be constructed that can then be excised and planted into B. subtilis
- Layed the groundwork for future teams to work with B. subtilis by BioBricking promoters, RBSs, terminators and so on and characterising them
- Showed that expansion into other organisms is a definite possibility!
- Developed a method for tracking and analysing bacterial motility
- Helped Bristol by sending them a mini-iGEM project: Chemotactic dot-to-dot with information on quorum sensing and directed movement
- Helped Bristol by sending them part BBa_J37015 (AHL generator + GFP) from our 2007 stock which was an empty vector in the Registry
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Of course, that is a very simplified description of our project. We expanded upon our project by looking into possible areas for real-world applications. For a case-study of such an implementation, check out how our project fits in with >>> Biocouture >>>
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